This is Rochester’s first self-driving race car challenge. We are bringing real-world racing at a 1/18th scale. This is a free event to introduce the local community to machine learning and reinforcement learning in a unique interactive and hands-on approach. Not only will guests have the chance watch the AWS DeepRacer live, they will learn how this technology can be applied to business solutions. Guests will also have the opportunity to visit various stations and to network with like-minded individuals.
We’re on a mission to bring the Rochester community together for an educational afternoon around the latest advancements with machine learning and reinforcement learning. We are excited to bring this technology to Rochester for the first-time ever.
The AWS DeepRacer is a 1/18th scale race car which gives you an interesting and fun way to get started with reinforcement learning (RL). RL is an advanced machine learning (ML) technique which takes a very different approach to training models. RL’s superpower is that it learns very complex behaviors without requiring any labeled training data.
The autonomous 1/18th scale race car is designed to test RL models by racing on a physical track. Using a camera to view the track and a reinforcement model to control throttle and steering, the car shows how a model trained in a simulated environment can be transferred to the real-world. The combination of console, simulator, and car provides a complete solution to experiment with RL algorithms and generalization methods.
Anyone interested in learning more about reinforcement learning and how it is enabling innovation and transformation in the local community. TECHTalks Remix: DeepRacer Challenge is a great educational and networking opportunity for everyone, there will be something to offer for every level of knowledge.
Date: Wednesday, October 30th
Time: 3:30pm – 6:30pm EST
Location: EagleDream Technologies, 300 Willowbrook Office Park, Suite 300, Fairport, NY
*Please confirm your attendance by submitting an RSVP via our Meetup Page
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